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The objective of FAST-Lab. is the seamless knowledge integration of humans and machines/robots creating smart environments by capitalising the advances on Information and Communication Technologies.

Research focus and goals

FAST-Lab. does research in Automation, Industrial Informatics, Industrial Cyberphysical Systems, Robotics and Artificial Intelligence. The main application domains for our research are Factory Automation, Healthcare Automation and Smart Mobility building the future Smart Factories, Smart Healthcare and Smart Cities. (Publications included in TUTCRIS by Prof. Jose L. Martinez Lastra and Publications included in Google Scholar by Prof. Jose L. Martinez Lastra.)

FAST-Lab. has been participating in 20 European research projects during the past years. FAST-Lab. is currently participating as one of the partners in the following four research projects: 

Zero-Defect Manufacturing Platform (ZDMP), a four-year project in 2019-2022, funded by the EUs H2020 programme (Digitising and transforming European industry and services: digital innovation hubs and platforms). The ZDMP project will develop and establish a digital platform for connected smart factories for achieving excellence in manufacturing through zero-defect processes and products.
See our ZDMP project web page for more information.

Robotic technologies for the manipulation of complex deformable linear objects (REMODEL), a four-year project in 2019-2023, funded by the EUs H2020 programme. The REMODEL project will enable new production environments, where the manufacturing of complex products composed of multiple wires and cables by means of robots is not only possible, but fully integrated with the product design chain. REMODEL will bring new opportunities to human-intensive labor manufacturing processes like the one dealing with cables and wires, where the routing and fitting tasks are calling for advanced handling techniques.
See our REMODEL project web page for more information.

Smart Human Oriented Platform for Connected Factories (SHOP4CF), a four-year project in 2020-2023, funded by the EUs H2020 programme. The SHOP4CF project aims to find the right balance between cost-effective automation, repetitive tasks and involve human workers in areas such as adaptability, creativity and agility where they provide to the biggest added value. In addition, SHOP4CF aims to pursue the highly connected factory model to reap the benefits of all the data generated within the factory shop floor level.
See our SHOP4CF project web page for more information.

Challenging environments tolerant Smart systems for IoT and AI (CHARM), a three-year project in 2020-2023, funded by the EUs H2020-ECSEL programme. Digitalization had been one of the primary key factors for the modern renaissance of the competitive European manufacturing industries. But, due to the harsh environmental conditions of the manufacturing processes and end-use environments, the implementation of digitalization and IoT-related opportunities is hindered. CHARM, initiated by the ECSEL-IA 2019 project, focuses on solving the impediment by developing ECS technologies that are tolerant of these harsh industrial environments. The concept of CHARM works on a given set of various real industrial challenges from different end-use industries.
See our CHARM project web page for more information.

Fostering and Enabling AI, Data and Robotics Technologies for Supporting Human Workers in Harvesting Wild Food (FEROX), a three-year project in 2022-2025,  funded by the EU's Horizon Europe programme. Nature’s gift to the Nordic region, Wild berries and Mushrooms, are a vital source of food that only requires labour for harvesting. Cultivated by nature, the harvesting of these vitamin-enriched food sources is deeply rooted in the cultures and traditions of the Nordic folk. But, even with the traditions, only 1 in 10 berries of the harvest are being picked for consumption every year. And one of the main reasons for this can be cited as the short duration of the season and the thick forest covering that hides the harvest from the view of the berry pickers.FEROX aims to introduce AI, Data, and Robotics Advancements as a helping hand for the pickers to improve their working conditions.
See our FOREX project web page for more information.

Optimising Production and Logistic Resources in the Time-critical Bio Production Industries in Europe (CLARUS), a three-year project in 2022-2025, funded by the EUs Horizon Europe programme.

AI Driven industrial Equipment product life cycle boosting Agility, Sustainability and Resilience (AIDEAS), a three-year project in 2022-2025, funded by the EUs Horizon Europe programme.

AI Powered human-centred Robot Interactions for Smart Manufacturing (AI-PRISM), a three-year project in 2022-2025, funded by the EU's Horizon Europe programme.AI-PRISM is an industrial-end-user-driven project that will provide a human-centred AI-based solutions ecosystem targeted to manufacturing scenarios with tasks difficult to automate and speed and versatility are essential. The result will be an integrated and scalable ecosystem with installation-specific solutions for semi-automated and collaborative manufacturing in flexible production processes and for which specific robotic programming skills will not be required, thanks to its programming-by-demonstration modules.
See our AI-PRISM project web page for more information.

Smart grading, handling, and packaging solutions for soft and deformable products in agile and reconfigurable lines(AGILEHAND) a three-year project in 2023-2025 funded by the EU's Horizon Europe programme, is a groundbreaking project focused on revolutionizing workpiece handling systems. It aims to develop innovative solutions for three key aspects: fine grading of delicate and perishable products, seamless handling of diverse and deformable objects, and implementing agility, flexibility, and reconfigurability in production lines. By leveraging advanced technologies and AI-based systems, AGILEHAND ensures cost-effective, accurate, and fast grading, enables efficient handling of soft products, and facilitates agile production line reconfiguration for optimal customer response time and resource utilization. This project promises to enhance efficiency, accuracy, and productivity in manufacturing processes, setting new standards in the industry.
See our AGILEHAND project web page for more information.